Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Norway
- Germany
- France
- Netherlands
- Denmark
- Belgium
- Hong Kong
- Singapore
- Austria
- Poland
- Australia
- Spain
- Switzerland
- Estonia
- Portugal
- Cyprus
- Italy
- Luxembourg
- China
- Canada
- Czech
- United Arab Emirates
- Ireland
- Finland
- Morocco
- Saudi Arabia
- Barbados
- Brazil
- Europe
- Iceland
- India
- Japan
- Lithuania
- New Zealand
- Taiwan
- Worldwide
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Humanities
- Linguistics
- Chemistry
- Materials Science
- Environment
- Business
- Earth Sciences
- Education
- Electrical Engineering
- Arts and Literature
- Physics
- Social Sciences
- Sports and Recreation
- Law
- 12 more »
- « less
-
Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
-
project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints
-
networking and computer security, and genuine interest in the PhD project. We value a collaborative attitude and an interest in working both in teams and independently. Self-motivation, attention to detail
-
cases. We are particularly interested in how AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services
-
for their stakeholders and society at large through our MBA, MS, PhD, and Executive Education programs. We are equally committed to cultivating new scholars and teachers and to creating and disseminating pathbreaking
-
expertise is required in categorical data analysis, longitudinal data analysis, and risk modeling using statistical and machine learning approaches. Experience with supervising and managing clinical research
-
and to large, longer-term petabyte-scale storage (~6 PB). The computer cluster offers over 400 software modules (e.g., Gromacs, Gaussian, Mathematica, MATLAB, MOLPRO, Turbomole). Responsibilities
-
Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
-
selected Master and PhD students with financial support. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408577/cbs-assistant-profe… Requirements Additional Information STATUS
-
projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome